Clustering High Dimensional Data Streams with Representative Points.
Xiujun WangHong ShenPublished in: FSKD (1) (2009)
Keyphrases
- high dimensional data streams
- data points
- clustering algorithm
- k means
- arbitrary shape
- graph theoretic
- anomaly detection
- clustering method
- document clustering
- sample points
- data mining
- data clustering
- hierarchical clustering
- self organizing maps
- feature points
- categorical data
- learning algorithm
- cluster analysis
- convex hull
- high dimensional
- data streams
- change detection
- point sets
- information theoretic
- distance metric
- data objects
- spectral clustering
- keypoints
- similarity function
- high dimensional data
- unsupervised learning
- text mining